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t3 (AWS)

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t3 (AWS)
Namet3
DeveloperAmazon Web Services
FamilyEC2
Release date2017
OsLinux, Windows
Use casesGeneral purpose, burstable

t3 (AWS) is a family of burstable general-purpose compute instances provided by Amazon Web Services for its Elastic Compute Cloud platform. Launched as a successor to earlier burstable instance families, these instances balance CPU baseline performance with the ability to accrue and spend CPU credits for short-term bursts. Deployed across AWS regions and integrated with services such as Amazon EC2, Amazon VPC, AWS IAM, and Amazon CloudWatch, t3 instances are commonly used for web servers, development environments, and microservices.

Overview

t3 instances belong to the Amazon EC2 portfolio offered by Amazon Web Services and were introduced to provide a cost-effective option for workloads that have variable CPU utilization patterns. Built to work with Amazon Machine Images used by projects like Ubuntu, Red Hat Enterprise Linux, Microsoft Windows Server, and distributions supported by Canonical, t3 leverages the Nitro system introduced by Amazon to deliver virtualization features that interact with KVM-based hypervisors and networking components from partners such as Intel and AMD. Management and orchestration are commonly performed via AWS Management Console, AWS CLI, and automation tools such as Terraform and Ansible.

Instance types and variants

The t3 family includes multiple sizes, for example t3.nano, t3.micro, t3.small, t3.medium, t3.large, t3.xlarge, and t3.2xlarge, each providing different vCPU counts and memory configurations. Variants and related lines include burstable predecessors and successors from Amazon such as T2 and T4g, and alternative instance families like M5, C5, and R5 for different workload profiles. Instance offerings differ across AWS regions such as us-east-1, eu-west-1, and ap-southeast-1, and can be deployed using purchase options like On-Demand, Reserved Instances, and Spot Instances managed through services like AWS Marketplace and AWS Cost Explorer.

Hardware and performance

Under the hood, t3 instances run on AWS Nitro hardware and make use of modern processor architectures from vendors including Intel and AMD; the T4g line uses AWS Graviton processors based on ARM64 designs from Amazon. The burstable model provides a defined baseline CPU performance and a CPU credit system similar in concept to mechanisms used by other cloud providers such as Google Compute Engine and Microsoft Azure burst options. Performance characteristics are measured by metrics collected in Amazon CloudWatch and analyzed with tools like Prometheus and Grafana. Networking performance ties into Elastic Network Adapter features and can be integrated with Amazon VPC constructs, while storage commonly uses Elastic Block Store volumes with configurable IOPS and throughput.

Pricing and billing

Pricing for t3 instances follows traditional EC2 models administered by Amazon Web Services and can be compared with pricing models from Google Cloud Platform and Microsoft Azure. Customers can select On-Demand pricing for flexibility, Reserved Instances or Savings Plans for cost savings, and Spot Instances for workload suitability, with billing visible in AWS Billing and analyzed through AWS Cost Explorer and third-party tools. Billing considerations include CPU credit accrual and consumption patterns that affect overall cost-effectiveness, alongside ancillary charges for data transfer across Amazon VPC peering, AWS Direct Connect, and services like Amazon S3.

Use cases and limitations

t3 instances are suited to web servers for stacks using NGINX, Apache HTTP Server, and application platforms such as Node.js, Java (programming language), Python (programming language), and Ruby on Rails. Common deployments include development and test environments, microservices orchestrated by Amazon ECS or Kubernetes distributions like EKS, small databases such as MySQL, PostgreSQL, and caching layers using Redis or Memcached. Limitations include the burst-credit model being inappropriate for sustained high-CPU workloads better matched to compute-optimized families like C5 or memory-optimized families like R5, and constraints tied to instance quotas managed via AWS Service Quotas.

Security and networking

Security for t3 instances integrates with AWS identity and access controls such as AWS IAM roles and policies, key management via AWS KMS, and host-level controls implemented within operating systems from vendors like Microsoft and Red Hat. Network security uses Security Group and Network ACL constructs within Amazon VPC, can be paired with AWS WAF and AWS Shield for perimeter protection, and often leverages encryption in transit via TLS implementations and certificate management through AWS Certificate Manager. Logging and monitoring for compliance leverage AWS CloudTrail and Amazon CloudWatch Logs integrated with SIEM solutions from vendors like Splunk and Elastic (company).

Category:Amazon Web Services